Online Course – Google Finance Certified Professional Internship in Data Analytics

Explore the universe of financial analytics. Master short-term and long-term investment strategies so you can invest in the capital market.

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קורס אונליין - התמחות מקצועית מוסמכת באנליטיקה של נתונים בפיננסים של Google

Professional Certificate

Intermediate level

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Financial data analysis skills
  • Making investment decisions based on risk-return ratio
  • Techniques for estimating expected return
  • Understanding investment risk in the short and long term
  • Applying theoretical knowledge in the capital market
  • Quantifying benefits versus financial risk
  • Practical exercises with real information from the capital market

What you will learn in the course

Courses for which the course is suitable

  • Financial Data Analyst
  • Investment Manager
  • Investment advisor
  • Capital market trader
  • Risk Manager
  • Financial planner
  • Case Manager
  • Market Analyst
  • Finance Project Manager
  • Financial Performance Analysis Specialist

Training – a three-part course series

The recent growth in financial data analytics has created new opportunities and challenges for leveraging organizational data to make better decisions that maximize value and reduce risk. Whether you have prior financial knowledge or are an investor with a short or long-term horizon, it is important to acquire basic analytical skills that will help you make investment decisions based on the risk-reward ratio.

Principle of the methodology

The methodology of the special program is a combination of theoretical knowledge bases and their application in the capital market. During the course, advanced techniques for estimating the expected return and risk associated with investments in the short and long term are explored.

Hands-on Learning Project

Students will be able to apply everything they have learned in the capital market, where they will face the same decisions that an investor makes in the short and long term. They will also be able to quantify the expected benefits versus the financial risk.

This can be achieved by combining theoretical knowledge with practical exercises with real information from the capital market, which will help deepen and understand the concepts presented in the readings and videos.

Details of the courses that make up the specialization

Financial analysis

Course 1

Duration: 17 hours

Rating: 4.4 (50 ratings)

What will you learn?

  • Understand the basics and importance of analytical statistical methods in finance for decision-making.
  • Use theoretical and predictive methods in time series of financial assets using computational and machine learning techniques.
  • Identify risk assessment techniques and models to understand the relationship between risk and return.

Skills to Acquire

  • Development of statistical models
  • Financial risk assessment
  • Data management and analysis

Investment portfolios and the capital market

Course 2

Duration: 13 hours

Rating: 4.8 (55 ratings)

What will you learn?

  • Understand the basics of value and price when it comes to financial assets.
  • To explore and understand market efficiency, as well as dispersion theory and the efficient front.
  • Understand and apply the basic CML and CAPM models for making investment decisions in the capital market.

Skills to Acquire

  • Planning investment decisions in an optimal portfolio and ETFs
  • Risk and expected return analysis of financial asset portfolios

Machine learning-based trading algorithms

Course 3

Duration: 17 hours

Rating: 4.8 (22 ratings)

What will you learn?

  • Understand the operation of the capital market, the formation of financial asset prices, and financial risk and income.
  • Use technical analysis tools in the capital market and commodities based on historical prices and trading volumes.
  • Use technical analysis to design algorithms for trading financial assets and commodities in the capital market.
  • Design trading algorithms based on machine learning models such as: decision trees, random forests, neural networks, and more.

Skills to Acquire

  • Learning key trading strategies
  • Understanding of financial markets
  • Designing trading algorithms based on machine learning models

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